Product Manager Advanced Analytics (Associate)

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ING is looking for a Product Manager Advanced Analytics (Associate) in our Amsterdam and London office!

Think Forward! Our purpose is to empower people to stay a step ahead in life and in business. We are an industry recognized strong brand with positive recognition from customers in many countries, strong financial position, omni-channel distribution strategy and international network. If you want to work at a place with lots of freedom to innovate, where we believe you can live by the Agile manifesto without jeopardizing the necessary continuity, compliance and QA measures, where we are committed to delivering stable and secure services to end users, and where we have a 'no nonsense' getting-things done mentality, please read on!

As Product Manager Advanced Analytics (Associate) you will be tasked with originating and building data-driven algorithmic products in ING Wholesale Banking. This is an entrepreneurial role with a global mandate in an innovative team that is scaling up significantly.

What we expect from you

You obsess about how you can use Artificial Intelligence to positively impact ING corporate clients, in banking and beyond

Engage with business leaders, employee innovators and clients as you seek to articulate the next big data driven algorithmic product and size its potential opportunity

Scan the Fintech ecosystem for partnerships that can help accelerate prototyping and product development

Demonstrate thought leadership on how Artificial Intelligence can be applied within Wholesale Banking at relevant conferences and events

Identify, evaluate, and prioritize opportunities for future products

Manage validation and prototyping exercises together with a squad of experts such as Data Scientists, UXers, and Engineers

Manage internal processes and stakeholders effectively in a context where processes still have to be defined

Any given day will be different, but one of them might look like this: Start off the day with a run through emails with potential ideas and requests to meet from employees, clients, vendors and potential Fintech partners, which you have to prioritize and filter. Then, run a workshop with a team that has been thinking about an AI-related idea and help them work it out into a concrete AI challenge. You go for lunch with the hot AI Fintech that is using voice data to predict trading behavior, who you spotted coming out of a top London Accelerator. After lunch you might support the Product Director with your insights on how best to size an opportunity and set metrics to measure progress on a particular prototyping process. This evening you are presenting at an AI Meetup that attracts the best AI minds in the city… or you might call it a day and spend some quality private time to keep a healthy balance between focus, rest and other things.

What department?

Wholesale Banking Advanced Analytics (WBAA) has the purpose to build algorithmic data-driven products that benefit ING’s clients and the bank. With a team of about 70 engineers, data scientists, UXers and product managers, WBAA has proven its ability to deliver value through “lighthouse” products and a number of products co-developed with Fintechs. The team has the clear mandate to grow significantly in the next years whilst expanding its international footprint.

What do we offer?

Working at ING means working in a dynamic and international setting. Individual development of our employees is very important and that is why ING offers excellent courses and programs. You will become a member of the Wholesale Banking Advanced Analytics team, a prestigious, no-nonsense and high-output team. We only hire people with exceptional talents and capabilities. You will work on the most innovative projects within ING. In addition, we offer:

Latest technologies, constant experimentation and play

Working with highly skilled and motivated people

Working in an area which is of great importance to the strategy of ING

A collaborative and diverse atmosphere where people can dare to bring their whole self

A full-time position (40 hour week)

A competitive salary

Great training and education opportunities

Are you keen to know more or apply?

For further inquiries, please contact Stanley Waccary, Business Manager Advanced Analytics at Stanley.Waccary@ing.com.